Research Analyst

Who We Are

Point
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Health is a leading not-for-profit health and well-being organization dedicated to delivering high-quality, affordable healthcare. Serving nearly 2 million members, Point
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Health builds on the legacy of Harvard Pilgrim Health Care and Tufts Health Plan to provide access to care and empower healthier lives for everyone. Our culture revolves around being a community of care and having shared values that guide our behaviors and decisions. We’ve had a long-standing commitment to inclusion and equal healthcare access and outcomes, regardless of background; it’s at the core of who we are.

We value the rich mix of backgrounds, perspectives, and experiences of all of our colleagues, which helps us to provide service with empathy and better understand and meet the needs of the communities where we serve, live, and work.

We enjoy the important work we do every day in service to our members, partners, colleagues and communities. Learn more about who we are at Point
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Health.

Harvard Pilgrim Health Care Institute is currently seeking highly motivated individuals to join our organization in the Division of Chronic Disease Research Across the Lifecourse. The analyst will participate in multiple projects conducted by faculty members within the Department of Population Medicine (DPM), an appointing department of Harvard Medical School (HMS). S/he will work closely with the Technical Program Manager on several NIH-sponsored grants to support data management and data infrastructure.

The position contributes to daily data management and oversight, development of data system architecture, and as appropriate, contributions to scientific presentations and publications.

• Coordinates data management and data analyses as appropriate for relevant grant‑funded projects, including data cleaning, developing software programs (± SAS, R, Python), scalable database infrastructure and architectures, data problem identification and resolution, and results reporting. Includes working with large datasets (e.g. longitudinal, electronic health records, proprietary algorithm outputs).
• Participate and lead discussions with internal investigators and other analysts to understand and interpret scientific and data‑related questions, lead the creation of technical specifications and requirements, and provide guidance and suggestions based on scientific and operational experience.
• Develop working knowledge of technical and software tools required to access, utilize and analyze data from HPHCI and other applicable systems environments. Assimilate and learn new technical tools, software and data systems to accommodate continuous changes in technical environment.
• Serves as lead and/or contributing author of analytic protocols, reports, and manuscripts, as appropriate.
• Contribute to preparation of data requests regularly to contribute to grant aims, including preparation of summary reports and presentations.
• Independently document project tasks and specifications. Responsible for managing project work according to work plan, and for successful completion of project goals within project timeline using effective time‑management skills. Identify and recommend alternative data/methods to meet project needs in most efficient way.
• Collaborates and communicates effectively with a diverse group of collaborators, including investigators, stakeholders, funders, statisticians, programmers, and analysts. internal staff and external study partners.
• Develop and perform data quality control activities. Provides project management and administrative support as needed for his/her projects. Build and maintain high‑standard documentation under a version control system.
• Attend and actively participate in staff, data/operations, and co‑investigator meetings for multiple projects. Supervises project staff work as appropriate.
• Use good and practice in working with highly confidential information. Follow all applicable privacy and confidentiality procedures in daily work.
• Other duties and projects as assigned.

• Bachelor’s degree in related field (e.g., computer programming, computer science, public health,…